Massimo Caccia
Massimo Caccia
MILA and Deepmind
Verified email at - Homepage
Cited by
Cited by
Online Continual Learning with Maximally Interfered Retrieval
R Aljundi*, M Caccia*, L Caccia*, E Belilovsky*, M Lin, L Charlin, ...
NeurIPS 2019 - (mind the Google Scholar bug), 2019
Language GANs Falling Short
M Caccia*, L Caccia*, W Fedus, H Larochelle, J Pineau, L Charlin
ICLR 2020, 2018
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ...
NeurIPS 2020, 2020
Online Learned Continual Compression with Adaptive Quantization Modules
L Caccia, E Belilovsky, M Caccia, J Pineau
ICML 2020, 2019
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
V Lomonaco, L Pellegrini, P Rodriguez, M Caccia, Q She, Y Chen, ...
Elsevier Artificial Intelligence Journal, 2020
Understanding Continual Learning Settings with Data Distribution Drift Analysis
T Lesort, M Caccia, I Rish
Workshop on Theory and Foundation of Continual Learning (ICML 2021), 2021
Learning where to learn: Gradient sparsity in meta and continual learning
J von Oswald, D Zhao, S Kobayashi, S Schug, M Caccia, N Zucchet, ...
NeurIPS 2021, 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
P Rodriguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ...
ICCV 2021, 2021
Continual Learning via Local Module Composition
O Ostapenko, P Rodríguez, M Caccia, L Charlin
NeurIPS 2021, 2021
Synbols: Probing Learning Algorithms with Synthetic Datasets
A Lacoste, P Rodríguez, F Branchaud-Charron, P Atighehchian, M Caccia, ...
NeurIPS 2020, 2020
Sequoia: A Software Framework to Unify Continual Learning Research
F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ...
Workshop on Theory and Foundation of Continual Learning (ICML 2021), 2021
Pretrained Language Model in Continual Learning: A Comparative Study
T Wu, M Caccia, Z Li, YF Li, G Qi, G Haffari
ICLR 2022, 2021
Option Pricing and Hedging for Discrete Time Autoregressive Hidden Markov Model
M Caccia, B Remillard
Proceedings of the Innovations in Insurance, Risk- and Asset Management …, 2018
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline
M Caccia, J Mueller, T Kim, L Charlin, R Fakoor
RLDM 2022, 2022
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